
Local and global feature importance, e.g., Shapley and derivative-based feature attribution [1]} [2]}, [3]}, [4]}, [5]}.

Local and global model-agnostic surrogate models, e.g., surrogate decision trees and LIME [6]}, [7]}, [8]}, [9]}, [10]}, [11]}.

Local and global visualizations of model predictions, e.g., accumulated local effect (ALE) plots, 1- and 2-dimensional partial dependence plots, and individual conditional expectation (ICE) plots [12]}, [13]}, [14]}.

